Maik Pfefferkorn
Technische Universität Darmstadt, Otto-von-Guericke University Magdeburg
Papers
2
Total Citations
12
H-Index
2
About
Dr. Maik Pfefferkorn is a leading researcher in energy-efficient robotics and control systems, with a focus on integrating machine learning with model predictive control (MPC) to optimize industrial automation. His major contributions lie in developing data-driven frameworks that minimize energy consumption in robotic manipulators while ensuring task reliability. In his highly cited 2024 work, Pfefferkorn pioneered the fusion of Bayesian optimization with MPC to plan minimum-energy trajectories, achieving a 7-citation impact that underscores its relevance to sustainable manufacturing. His 2022 paper on high-probability stable Gaussian process-supported MPC for Lur’e systems (5 citations) further demonstrates his expertise in robust control under uncertainty, offering theoretical guarantees for stability in nonlinear systems. Pfefferkorn’s research bridges the gap between practical industrial needs and advanced algorithmic theory, making him a key figure in the push toward greener robotics. His work is particularly notable for its emphasis on real-world applicability, with potential to reduce operational costs and environmental footprints in sectors like automotive and logistics.
Research Focus
Key Achievements
Top Papers
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